Spotlight: A conversation with Hanna Wallach - lessons from computational social sciences
**Moderated by Sarah Cohen, The New York Times
Hanna Wallach has been a pioneer in computational social science, which shares documents, data and challenges with many journalists. She'll bring her wisdom in applying natural language processing and machine learning to IRE in a wide-ranging conversation that will include pitfalls and promise in cross-disciplinary collaborations, advice for handling document dumps and attempts to predict the content of redacted documents.
The session is good for: Anyone We'll explain any jargon. The session will be most useful if you have a passing familiarity with statistics or coding.
Sarah Cohen is the Knight Chair in Journalism at the Walter Cronkite School at ASU. Previously, she worked as the editor of a data reporting team at The New York Times focused on long-term enterprise and investigative stories, and as a database editor for The Washington Post. Her awards include the Pulitzer Prize in Investigative Reporting, the Goldsmith Prize and the IRE medal. She is a past president of IRE, and served on the board for eight years.
Hanna Wallach (@hannawallach) is a researcher at Microsoft Research NYC and an assistant professor in the School of Computer Science at UMass Amherst. In collaboration with social scientists and journalists, she develops machine learning methods for uncovering insights about the structure, content, and dynamics of social processes. She is the only person to have appeared in both Glamour magazine ("35 Women Under 35 Who Are Changing the Tech Industry") and Linux Format.
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